Top Senior Level Data & Analytics Jobs in Miami, FL

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on data needs for AI/ML models. Responsibilities include setting data infrastructure strategy, implementing data transformation processes, ensuring data quality, building data structures, and collaborating with cross-functional teams.

The AI/ML Data Analyst will develop mathematical models and algorithms for the AI/ML initiative, analyze data models, review algorithms for performance, and troubleshoot field issues. They will also serve as a subject matter expert on AI tools and techniques, ensuring all business activities align with company policies.

As a Senior Analyst, you will analyze complex requirements and develop reporting solutions. Key responsibilities include designing dashboards, ensuring data quality and accessibility, and collaborating with stakeholders to assess business needs.

The Workday Reporting & Analytics Principal Consultant will lead the design and implementation of analytical solutions within Workday, mentor other consultants, support HCM and financial implementations, and engage with clients to analyze requirements and provide solutions. The role emphasizes customer service and expert reporting skills to deliver superior results.

In this role, the Senior Manager of Data Engineering will lead and expand a team of engineers, design data strategy and architecture, and collaborate with technical leaders to enhance data infrastructure and support business growth.

As a Senior Data Scientist for JD Power, you'll lead complex data science projects, focusing on feature engineering and model building. You will leverage advanced AI/ML techniques and tools like SQL, Python, and AWS SageMaker to extract insights and impact products in the automotive industry. Your role will also involve collaborating with teams to develop analytics for new products and creating visual reports for clients.

The Application Data Architect will guide software engineering teams in database design, optimizing data for online applications, and ensuring data integrity and security. Responsibilities include collaborating with various teams to translate requirements into database designs, managing data catalogs, and improving data architecture best practices.